Literature DB >> 31876179

Do-It-Yourself Automated Insulin Delivery: A Leading Example of the Democratization of Medicine.

Mercedes Burnside1, Hamish Crocket2, Michael Mayo3, John Pickering4, Adrian Tappe5, Martin de Bock1,6.   

Abstract

Digital innovations have led to an explosion of data in healthcare, driving processes of democratization and foreshadowing the end of the paternalistic era of medicine and the inception of a new epoch characterized by patient-centered care. We illustrate that the "do it yourself" (DIY) automated insulin delivery (AID) innovation of diabetes is a leading example of democratization of medicine as evidenced by its application to the three pillars of democratization in healthcare (intelligent computing; sharing of information; and privacy, security, and safety) outlined by Stanford but also within a broader context of democratization. The heuristic algorithms integral to DIY AID have been developed and refined by human intelligence and demonstrate intelligent computing. We deliver examples of research in artificial pancreas technology which actively pursues the use of machine learning representative of artificial intelligence (AI) and also explore alternate approaches to AI within the DIY AID example. Sharing of information symbolizes the core philosophy behind the success of the DIY AID evolution. We examine data sharing for algorithm development and refinement, for sharing of the open-source algorithm codes online, for peer to peer support, and sharing with medical and scientific communities. Do it yourself AID systems have no regulatory approval raising safety concerns as well as medico-legal and ethical implications for healthcare professionals. Other privacy and security factors are also discussed. Democratization of healthcare promises better health access for all and we recognize the limitations of DIY AID as it exists presently, however, we believe it has great potential.

Entities:  

Keywords:  artificial intelligence; artificial pancreas; automated insulin delivery; democratization of medicine; do it yourself; open-source

Year:  2019        PMID: 31876179     DOI: 10.1177/1932296819890623

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  4 in total

Review 1.  Patient-driven innovations reported in peer-reviewed journals: a scoping review.

Authors:  Maria Reinius; Pamela Mazzocato; Sara Riggare; Ami Bylund; Hanna Jansson; John Øvretveit; Carl Savage; Carolina Wannheden; Henna Hasson
Journal:  BMJ Open       Date:  2022-01-24       Impact factor: 2.692

2.  Bias and fairness assessment of a natural language processing opioid misuse classifier: detection and mitigation of electronic health record data disadvantages across racial subgroups.

Authors:  Hale M Thompson; Brihat Sharma; Sameer Bhalla; Randy Boley; Connor McCluskey; Dmitriy Dligach; Matthew M Churpek; Niranjan S Karnik; Majid Afshar
Journal:  J Am Med Inform Assoc       Date:  2021-10-12       Impact factor: 7.942

3.  "Democratizing" artificial intelligence in medicine and healthcare: Mapping the uses of an elusive term.

Authors:  Giovanni Rubeis; Keerthi Dubbala; Ingrid Metzler
Journal:  Front Genet       Date:  2022-08-15       Impact factor: 4.772

4.  The Cybersecurity and the Care Robots: A Viewpoint on the Open Problems and the Perspectives.

Authors:  Daniele Giansanti; Rosario Alfio Gulino
Journal:  Healthcare (Basel)       Date:  2021-11-29
  4 in total

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